We architect and deploy cutting-edge Agentic AI solutions that give you a competitive edge in the AI-driven economy
An advanced AI engineering startup leveraging cutting-edge technologies to solve complex business problems
Internal DI specializes in transforming experimental AI capabilities into production-ready, enterprise-safe solutions. Led by Principal AI Engineer Pat Ganesan with 20+ years of experience architecting enterprise-grade data platforms and AI systems, we build autonomous multi-agent systems that drive real business value.
Our expertise spans the entire AI engineering lifecycle—from conceptual design and architecture diagrams to deployment, governance, and cost optimization. We've successfully designed and deployed 8 real-world autonomous AI systems, reducing operational costs by up to 70% while ensuring full production readiness.
Proven Track Record: Previously architected enterprise Encounter Management and Claims Analytics platforms serving large healthcare clients at SSNC Health, leading the transition from manual processes to fully automated analytics systems. Served as Project Manager/Scrum Master leading agile delivery and cross-functional teams.
Education & Credentials: MBA in Management Information Systems (University of Alabama), Bachelor of Engineering in Computer Systems (Carleton University), Graduate-level AI/ML coursework including Machine Learning, Deep Learning, and Artificial Intelligence. Certified in AI Engineering (Agentic Track) and AI Leadership.
Location: Based in Edmonton, AB, Canada. Available for remote work and relocation. Serving clients globally.
Advanced autonomous systems powered by leading AI frameworks
Design and implement autonomous AI teams that collaborate, reason, and execute complex workflows without human intervention. Perfect for research, automation, and decision support.
Build intelligent agents that interact with your existing APIs, databases, and systems through structured tool calls and extensible MCP servers.
Implement graph-based agent workflows with oversight controls, approval gates, and browser-integrated agents for sensitive operations.
Dockerized, cloud-ready AI systems with full CI/CD pipelines, infrastructure as code, and scalable architectures on AWS.
Optimize costs and performance through intelligent model routing, prompt engineering, and response validation across multiple LLM providers.
Implement enterprise-grade AI governance frameworks with monitoring, failure mode analysis, and compliance controls.
Enterprise-grade tools and frameworks powering our solutions
Python • TensorFlow • PyTorch • Scikit-learn • OpenAI API • Anthropic Claude
AWS (Lambda, ECS, ECR, API Gateway, IAM) • Azure • Docker • Terraform • CI/CD • GitHub
SQL Server • Oracle • Hadoop • Hive • Impala • ETL Pipelines • Data Warehousing
Tableau • IBM Cognos • Advanced Analytics • Semantic Modeling • Enterprise Reporting
Share your pain points—we'll architect the solution
We dive deep into your business challenges, existing infrastructure, and strategic objectives to identify high-impact AI opportunities.
Our Principal AI Engineer creates comprehensive system architecture diagrams with clear technical specifications and integration points.
Receive detailed ROI projections, implementation timelines, and cost-benefit analysis to make informed investment decisions.
We build, test, and deploy production-ready AI systems with full documentation, training, and ongoing support.
Get ahead of the learning curve and outpace your competitors with cutting-edge AI solutions